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<p>Historical document analysis has progressed to a point where the main bottleneck for many historical applications is not algorithms, but relevant interfaces, that can support historians’ workflow. While specialized tools exist for text processing and image search, we argue the community lacks a versatile collaborative platform enabling historians to analyze their own corpora from a particular perspective. As a step in this direction, we present <span>aikon</span>&#xa0;, a modular web-platform designed to empower historians with computer vision tools. <span>aikon</span>&#xa0;implements a complete workflow for historical document analysis, from corpus constitution to <span>ai</span> outputs validation and interpretation. It provides a comprehensive research environment combining source management tools with automated processing capabilities as well as multi-user validation and visualization interfaces. We showcase the potential of <span>aikon</span>&#xa0;by presenting modules enabling the investigation of graphical content transmission across large and diverse corpora, a problem for which few modern tools exist, and which is of key interest, for example in History of Science.</p>

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AIKON: a modular computer vision platform for historical corpora

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月30日

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  • Ségolène Albouy,
  • Somkeo Norindr,
  • Paul Kervegan,
  • Fouad Aouinti,
  • Rémy Delanaux,
  • Clara Grometto,
  • Robin Champenois,
  • Stavros Lazaris,
  • Alexandre Guilbaud,
  • Matthieu Husson,
  • Mathieu Aubry

摘要

Historical document analysis has progressed to a point where the main bottleneck for many historical applications is not algorithms, but relevant interfaces, that can support historians’ workflow. While specialized tools exist for text processing and image search, we argue the community lacks a versatile collaborative platform enabling historians to analyze their own corpora from a particular perspective. As a step in this direction, we present aikon , a modular web-platform designed to empower historians with computer vision tools. aikon implements a complete workflow for historical document analysis, from corpus constitution to ai outputs validation and interpretation. It provides a comprehensive research environment combining source management tools with automated processing capabilities as well as multi-user validation and visualization interfaces. We showcase the potential of aikon by presenting modules enabling the investigation of graphical content transmission across large and diverse corpora, a problem for which few modern tools exist, and which is of key interest, for example in History of Science.